ML Engineer

Job description

This is a remote position. About Leegality: Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way. We have multiple products across 2 categories: Document Infrastructure: Products that help businesses build paperless processes at scale: - Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24. - Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts - Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner Consent Infrastructure: - Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses - Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store. If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality. Curious about our impact? Explore our customer success stories: leegality.com/case-studies Our Culture At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed. We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy: - Flexible working hours - Hybrid work setup - Bi-annual performance appraisals - A culture that rewards initiative, curiosity, and impact If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality. Location: Hybrid Job Brief: - As a Machine Learning Engineer specializing in Computer Vision (CV) and Natural Language Processing (NLP), you will develop solutions to interesting technical problems, exploring exciting growth opportunities and having a real impact on our product, particularly focusing on document and content intelligence. - To ensure success, you should demonstrate solid data science knowledge and experience in a related ML, CV, or NLP role. A first-class engineer will be someone whose expertise enhances our systems for document intelligence and content processing Responsibilities: - Designing machine learning systems, self-running artificial intelligence (AI) software, and specialized models for Computer Vision and Natural Language Processing applications. - Transforming data science prototypes and applying appropriate deep learning algorithms and tools to text and image/document data. - Solving complex CV and NLP problems with multi-layered data types, such as image/document classification, information extraction, semantic search, and object detection. - Optimizing existing machine learning models, with a focus on high-performance model deployment for CV and NLP tasks. - Developing ML algorithms (including large language models/LLMs and computer vision models) to analyze huge volumes of historical text, image, and document data to make predictions and automate workflows. - Running tests, performing statistical analysis, and interpreting test results for CV/NLP model performance. - Documenting machine learning processes, model architectures, and data pipelines. - Keeping abreast of developments in machine learning, Computer Vision, and Natural Language Processing. Requirements: - 3+ years of relevant experience in Machine Learning Engineering, with a strong focus on Computer Vision and/or Natural Language Processing. - Advanced proficiency with Python. - Extensive knowledge of ML frameworks, libraries (e.g., PyTorch, Transformers), data structures, data modeling, and software architecture. - Experience with building and maintaining scalable RESTful APIs (e.g., FastAPI). - In-depth knowledge of mathematics, statistics, deep learning (CNNs, RNNs, Transformers), and algorithms. - Superb analytical and problem-solving abilities, especially for unstructured data challenges. - Great communication and collaboration skills. - Excellent time management and organizational abilities. - Experience with cloud platforms (e.g., AWS) for model deployment and MLOps. Recruitment Process: - Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless experience. - You will be contacted via email with the next steps upon being shortlisted. - The process may include Assessments, AI-enabled interviews, and In-Person Interviews with our team. - Final selection and CTC will be based on your overall performance and experience. Apply directly through our career page: https://careers.leegality.com/jobs/Careers For more information about us please visit our: Our Company and Culture: https://bit.ly/3Iqm5SB Our Website: www.leegality.com/ Our LinkedIn Page: www.linkedin.com/company/leegality/ Leegality's Privacy Notice: https://www.leegality.com/employee-privacy-notice ### **Job Information** - Industry IT Services - Date Opened 22/07/2026 - Job Type Full time - Work Experience 3+ years - Remote Job